摘要
基于神经元的自学习特性 ,提出了适用于数控机床位置伺服控制的神经元控制器。算法的显著特点是不需要系统建模 ,而且运算简单 ,非常适用于工程实际应用。仿真和数控机床伺服系统的实时控制实验说明本文提出的控制算法的有效性。
Based on the feature of neuron self learning,neuron based adaptive controller is proposed for the position servo control of CNC machine tools.The algorithm has the outstanding feature that the identification of system models is no longer necessary.Moreover,the simplicity of calculation makes the algorithm very suitable for practical engineering application.A simulation research is also given.The control algorithm is applied to real time control of position servo system of a CNC machine tool for the first time.Excellent experimental results illustrate the high effectiveness of the neuron based controller proposed in this thesis.
出处
《组合机床与自动化加工技术》
北大核心
2000年第7期7-10,共4页
Modular Machine Tool & Automatic Manufacturing Technique
